posted by user: gonzo1453 || 2390 views || tracked by 12 users: [display]

DaWaK 2024 : 26th International Conference on Big Data Analytics and Knowledge Discovery


Conference Series : Data Warehousing and Knowledge Discovery
When Aug 26, 2024 - Aug 28, 2024
Where Naples, Italy
Submission Deadline Apr 7, 2024
Notification Due May 10, 2024
Final Version Due Jun 15, 2024
Categories    big data   data mining   dat analytics   machine learning

Call For Papers

The 26th International Conference on Big Data Analytics and Knowledge Discovery (DAWAK 2024) will be held in Naples, Italy on August 26-28, 2024.

All accepted conference papers will be published in a volume of "Lecture Notes in Computer Science" (LNCS) by Springer. LNCS volumes are indexed in Scopus; EI Engineering Index; Google Scholar; DBLP; etc. and submitted for indexing in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science. TOP papers, after further revisions, will be invited for publication in a SPECIAL ISSUE of DATA & KNOWLEDGE ENGINEERING (DKE) titled "Data Engineering, Data Analytics and Data Science".

DaWaK conference is a high-quality forum for researchers, practitioners and developers in the field of Big Data Analytics, in a broad sense. The objective is to explore, disseminate and exchange knowledge in this field through scientific and industry talks. The conference covers all aspects of DaWaK research and practice, including data lakes, database design (data warehouse design, ER modelling), big data management (tables + text + files), query languages (SQL and beyond), parallel systems technology (Spark, MapReduce, HDFS), theoretical foundations and applications, text and data mining techniques, and deep learning. The conference will bring together active researchers from the database systems, cloud computing, programming languages and data science communities worldwide.
Main topics include:

Theoretical models for extended data warehouses and big data
Conceptual model foundations for big data
Modelling diverse big data sources
Parallel processing
Parallel DBMS technology
Distributed system architectures
Scalability and parallelization using Map-Reduce, Spark, and related systems
Query languages
Query processing and optimization
Semantics for big data intelligence
Data warehouse and data lake architectures
Pre-processing and data cleaning
Integration of data warehousing, OLAP cubes, and data mining
Quantum technologies for data engineering
Polystore and multistore architectures
NoSQL storage systems
Cloud infrastructures for big data
Metadata for big data frameworks
Big data storage and indexing
Big data analytics: algorithms, techniques, and systems
Big data quality and provenance
Big data search and discovery
Big data management for mobile applications
Analytic workflows
Graph analytics
Analytics for unstructured, semi-structured, and structured data
Analytics for temporal, spatial, spatio-temporal, and mobile data
Analytics for data streams and sensor data
Real-time/right-time and event-based analytics
Privacy and security in analytics
Data visualization
Big data application deployment
Data science products
Novel applications of text mining for big data
Machine learning: auto AI, deep learning applications

Authors are invited to submit original research contributions or experience reports in English. DaWak will accept submissions of both short and full papers.

* Short papers: up to 6 pages on preliminary work, vision papers or industrial applications
* Full papers: up to 15 pages (including references and appendixes). Full papers are expected to be more mature, contain more theory or present a survey (tutorial style) of some hot or not yet explored topics.

Papers exceeding the page limit or deviating from the formatting requirement are desk rejected.

Submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. Duplicate submissions are not allowed and will be rejected immediately without further reviewing.
Authors are expected to agree to the following terms: "I understand that the submission must not overlap substantially with any other paper that I am a co-author of or that is currently submitted elsewhere. Furthermore, previously published papers with any overlap are cited prominently in this submission."

Questions about this policy or how it applies to a specific paper should be directed to the PC Co-chairs

Related Resources

DMBDA 2024   2024 7th International Conference on Data Mining and Big Data Analytics(DMBDA 2024)
Ei/Scopus-AACIP 2024   2024 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024)-EI Compendex
BPOD 2024   The Seventh IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications
ICDM 2024   IEEE International Conference on Data Mining
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
KDD 2025   31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
IEEE Big Data - MMAI 2024   IEEE Big Data 2024 Workshop on Multimodal AI (Hybrid)
AAAI 2025   The 39th Annual AAAI Conference on Artificial Intelligence
AIKE 2024   7th IEEE International Conference on Artificial Intelligence and Knowledge Engineering